Unbiased quantification of the spatial distribution of murine cells using point pattern analysis

被引：1
|
作者：
Manrique-Castano, Daniel [1 ,2 ]
El Ali, Ayman [1 ,2 ]
机构：
[1] Univ Laval, CHU Quebec, Neurosci Axis, Res Ctr, Quebec City, PQ G1V 0A6, Canada
[2] Univ Laval, Fac Med, Dept Psychiat & Neurosci, Quebec City, PQ G1V 4G2, Canada
来源：
STAR PROTOCOLS | 2024年 / 5卷 / 02期
基金：
加拿大健康研究院;
关键词：
spatial intensity; spatial modeling;
D O I：
10.1016/j.xpro.2024.102989
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
CNS injuries are associated with profound changes in cell organization. This protocol presents a stepwise approach to quantitatively describe the spatiotemporal changes in glial cell rearrangement in the injured murine brain, which is applicable to other biological contexts. Herein, we apply common immunolabeling of neurons and glial cells and wide -field microscopy imaging. Then, we employ computational tools for alignment to the Allen Brain Atlas, unbiased/ automatic detection of cells, generation of point patterns, and data analysis. For complete details on the use and execution of this protocol, please refer to Manrique-Castano et al. 1
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页数：15
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